Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM

2002 ◽  
Vol 14 (9) ◽  
pp. 2039-2041 ◽  
Author(s):  
J. Schmidhuber ◽  
F. Gers ◽  
D. Eck
Keyword(s):  
Recent Article ◽  
Short Term Memory ◽  
Recurrent Networks ◽  
Short Term ◽  
Term Memory ◽  
Context Sensitive ◽  
Simple Recurrent Networks ◽  
Long Short Term Memory ◽  
Context Free

In response to Rodriguez's recent article (2001), we compare the performance of simple recurrent nets and long short-term memory recurrent nets on context-free and context-sensitive languages.

RECURRENT NEURAL NETWORKS FOR MUSICAL PITCH MEMORY AND CLASSIFICATION

2005 ◽  
Vol 14 (01n02) ◽  
pp. 329-342 ◽  
Author(s):  
JUDY A. FRANKLIN ◽  
KRYSTAL K. LOCKE
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Recurrent Neural Network ◽  
Recurrent Neural Networks ◽  
Short Term Memory ◽  
Recurrent Networks ◽  
Short Term ◽  
Term Memory ◽  
Musical Pitch ◽  
Long Short Term Memory

We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with several kinds of recurrent networks for this purpose, and have found that Long Short-term Memory networks provide the best results. We show that a new pitch representation called Circles of Thirds works as well as two other published representations for these tasks, yet it is more succinct and enables faster learning. We then discuss limited results using other types of networks on the same tasks.

Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks

2020 ◽  
Author(s):  
Abdolreza Nazemi ◽  
Johannes Jakubik ◽  
Andreas Geyer-Schulz ◽  
Frank J. Fabozzi
Keyword(s):  
Short Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Financial News ◽  
Long Short Term Memory
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